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Analytics of information flows and decision making in heterogeneous learning ecosystems

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Technological Ecosystems for Enhancing Multiculturality
Technological Ecosystems for Enhancing Multiculturality

Juan Cruz-Benito, Roberto Theron and Francisco J. García Peñalvo. Research Group in InterAction and eLearning (GRIAL) University of Salamanca

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Analytics of Information Flows and Decision Making in Heterogeneous Learning Ecosystems Juan Cruz-Benito Roberto Therón Francisco J. García-Peñalvo ! GRIAL Research Group Department of Computer and Automatics University of Salamanca ! TEEM’14 Conference, October 1st, 2014 ! juancb@usal.es @_juancb
What is the problem? Learning online processes Students use several technological ecosystems for learning How can I get insight about this learning process? How can teachers understand these insights in order to improve the learning process?
What I want to do? Know what happens in this kind of learning environments Analyse these learning evidences Help teachers to improve the learning processes by using the knowledge raised by the analysis of the evidences
Goals Review the State of the Art of Learning Analytics and related research fields Define how to retrieve evidences from heterogeneous learning ecosystems Define data analysis processes to treat these evidences Define data visualisations that allow the analyst (teachers) to understand the analysis and later apply this knowledge to improve the learning processes and make decisions.
Research areas related Data Science Software Engineering Visual Analytics Decision Making
How can I achieve the goals? That’s the point in this PhD project (and almost in all)
How can I achieve the goals? Action Research Methodology Development - Test - Review - Improve
Expected outcomes Proposal of software/data architecture to bind/store data from heterogeneous learning ecosystems Use and propose (if it is necessary) algorithms to get valuable knowledge from the learning evidences retrieved from those ecosystems Propose and test data visualisations and other tools for visual analytics that help teachers to make decisions about the students’ learning path and improve it
Analytics of Information Flows and Decision Making in Heterogeneous Learning Ecosystems Juan Cruz-Benito Roberto Therón Francisco J. García-Peñalvo ! GRIAL Research Group Department of Computer and Automatics University of Salamanca ! TEEM’14 Conference, October 1st, 2014 ! juancb@usal.es @_juancb

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Analytics of information flows and decision making in heterogeneous learning ecosystems

  • 1. Analytics of Information Flows and Decision Making in Heterogeneous Learning Ecosystems Juan Cruz-Benito Roberto Therón Francisco J. García-Peñalvo ! GRIAL Research Group Department of Computer and Automatics University of Salamanca ! TEEM’14 Conference, October 1st, 2014 ! juancb@usal.es @_juancb
  • 2. What is the problem? Learning online processes Students use several technological ecosystems for learning How can I get insight about this learning process? How can teachers understand these insights in order to improve the learning process?
  • 3. What I want to do? Know what happens in this kind of learning environments Analyse these learning evidences Help teachers to improve the learning processes by using the knowledge raised by the analysis of the evidences
  • 4. Goals Review the State of the Art of Learning Analytics and related research fields Define how to retrieve evidences from heterogeneous learning ecosystems Define data analysis processes to treat these evidences Define data visualisations that allow the analyst (teachers) to understand the analysis and later apply this knowledge to improve the learning processes and make decisions.
  • 5. Research areas related Data Science Software Engineering Visual Analytics Decision Making
  • 6. How can I achieve the goals? That’s the point in this PhD project (and almost in all)
  • 7. How can I achieve the goals? Action Research Methodology Development - Test - Review - Improve
  • 8. Expected outcomes Proposal of software/data architecture to bind/store data from heterogeneous learning ecosystems Use and propose (if it is necessary) algorithms to get valuable knowledge from the learning evidences retrieved from those ecosystems Propose and test data visualisations and other tools for visual analytics that help teachers to make decisions about the students’ learning path and improve it
  • 9. Analytics of Information Flows and Decision Making in Heterogeneous Learning Ecosystems Juan Cruz-Benito Roberto Therón Francisco J. García-Peñalvo ! GRIAL Research Group Department of Computer and Automatics University of Salamanca ! TEEM’14 Conference, October 1st, 2014 ! juancb@usal.es @_juancb